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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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校正:使用机器学习预测残疾老年人的抑郁风险:基于查尔斯数据的分析

Tongtong Jin1, Ayitijiang Halili2

  • 1School of Law, Shanxi University of Finance and Economics, Taiyuan, China.

Frontiers in artificial intelligence
|August 7, 2025
PubMed
概括

这项研究纠正了之前的一篇文章DOI. 修正后的DOI为10.3389/frai.2025.1624171,确保准确引用和检索研究结果.

科学领域:

  • 科学传播是科学传播.
  • 学术出版学术出版活动
关键词:
查尔斯查尔斯查尔斯查尔斯查尔斯查尔斯历史时间GBMGBM在MLP中,MLP是MLP.抑郁 抑郁症 抑郁症 抑郁症 是一种有残疾的老年人.机器学习是机器学习.心理健康 心理健康 心理健康 LR LR风险预测风险预测

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